CN102981483B - Self-adaptive search intelligent learning control system of automobile intelligent appliance control system - Google Patents

Self-adaptive search intelligent learning control system of automobile intelligent appliance control system Download PDF

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CN102981483B
CN102981483B CN201210499457.2A CN201210499457A CN102981483B CN 102981483 B CN102981483 B CN 102981483B CN 201210499457 A CN201210499457 A CN 201210499457A CN 102981483 B CN102981483 B CN 102981483B
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circuit
control system
mechanism controller
electric equipment
treatment mechanism
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CN102981483A (en
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王祥久
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SICHUAN FANHUA ELECTRICAL CO Ltd
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SICHUAN FANHUA ELECTRICAL CO Ltd
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Abstract

The invention discloses a self-adaptive search intelligent learning control system of an automobile intelligent appliance control system. A self-adaptive search online identification circuit is used for acquiring related data and transmitting the data into a processing mechanism controller unit of a processing mechanism controller circuit under the condition of detecting that automobile electric equipment is operated; a training and learning unit in a training and learning circuit continuously trains and learns various conditions of the automobile electric equipment, and stores the conditions of the automobile electric equipment in the processing mechanism controller unit; the processing mechanism controller unit in the processing mechanism controller circuit records data, and starts the training and learning unit; the processing mechanism controller unit makes a processing mechanism and compensation control measures according to conditions of the automobile electric equipment, so that the automobile electric equipment works stably; the production of an automobile intelligent appliance controller is simplified, so that the automobile intelligent appliance controller is not required to be debugged by persons; and the self-adaptive search intelligent learning control system is easy to produce on a large scale.

Description

The adaptable search intelligent learning control system of vehicle intelligent electric appliance control system
Technical field
The present invention relates to vehicle intelligent electric appliance control system corollary apparatus technical field, is a kind of adaptable search intelligent learning control system for vehicle intelligent electric appliance control system in particular.
Background technology
Along with the fast development of modern science and technology, the particularly develop rapidly of microelectric technique, electronic computer technology, auto electronic control technology had already occurred and had still continued most penetrating and huge change occurs, the theoretical foundation that auto electronic control technology relies on and technology are far not limited to Electrical Motor, electronics, also comprise control theory, Systems Theory, sensor technology, signal processing technology, computing machine control theory and technology, Power Electronic Technique etc.Each related discipline defines and interpenetrates and mutually intersect, and has even occurred the phenomenon of mutual fusion.
Along with electronic control system unit (ECU) widespread use on automobile, automotive circuit diagram degree is more and more higher.Although the increase of electric-control system improves the dynamic property of automobile, economy and comfortableness, the complicated circuit increased thereupon, vehicle body must be caused to connect up huge and complicated, installing space shortage.Simultaneously, in order to improve ECU (Electrical Control Unit) information utilization, require that large quantities of data messages can be shared between different electronic units, control signals a large amount of in comprehensive automobile control system also needs real-time exchange, and the data communication between difference in functionality electronic control system unit becomes more and more important.Therefore more and more higher requirement is proposed to the design of electronic control system unit, not only require communication network to have traffic rate is high, accurate, reliability is high feature, require control module should have simultaneously and control effective high, the advantage such as space is little.
Vehicle intelligent electric appliance control system is for controlling the assemblies such as sensor, switch, electrical equipment, electronic equipment, its function comprises: vehicle anti-theft, indoor lamp, power windows, glass defrosting, scrape the control and management of water, central controlled lock, remote control RKE, steering indicating light, front and back Assembled lamp, front and back fog lamp, loudspeaker, skylight, seat, rearview mirror, instrument, air-conditioning etc., is used to realize the system that the hommization to electrical apparatus for vehicle use, comfortableness and Partial security control.
Vehicle intelligent electric appliance control system ultimate principle is receive the data-signals such as some switching signals, sensor signal and CAN, LIN bus in car by exterior I/O and bus interface, realize steering logic by controller MCU, realize the control to peripheral load by driving circuit.
Vehicle intelligent electric appliance control system is exactly that application controls device automatically, on purpose controls, operate machines equipment or process, makes it certain state and performance.Automatic control system is generally made up of a few parts such as detection feedback unit, instruction and signal processing unit, conversion amplifying unit, actuator and power sources.
1. detect feedback unit
The function of this unit is to detect controlled parameter or other intermediate variable by various sensor, in order to display or as feedback signal after amplifying, changing.
2. instruction and signal processing unit
This unit accepts man-machine conversation stochastic instruction or definite value, programmed instruction, and accepts feedback signal, generally has the processing capacities such as signal compares, converts, computing, logic.Traditional instruction and signal processing unit many employings mimic channel, along with the development of microelectric technique and computer technology, for engineering control system provides the possibility adopting digital machine instruction and signal processing unit.Instruction used on automobile and signal processing unit mostly are microprocessor.
3. change amplifying unit
The effect of this unit is mutually changed differently and Linear Amplifer command signal, makes the power after amplification be enough to control actuator and drive controll plant.
4. actuator
The parts of actuator Direct driver controll plant can be electromagnetic components, as electromagnet, motor etc.; Also can be hydraulic pressure or pneumatic element, as hydraulic pressure or pressure work cylinder and motor.In order to make drive characteristic mutually mate with the part throttle characteristics of controll plant, also gear can be added, as the combination of oil motor and Planetary Gear Transmission.
There is non-linearity and uncertain signal in the sensor of automobile, peripheral load; sensor, the control of peripheral load and protection is made to become very difficult; need could grasp key algorithm through test of many times, especially relate to the control strategy of oil, gas, electricity mixing, technology barriers are higher.In current vehicle intelligent electric appliance control system, the main level that adopts changes, and direct method controls and feedback control strategy.Conventional direct method controls and feedback control system all has certain rejection ability for the change of internal system characteristic and the impact of external disturbance; but because controller parameter is fixing; so when the amplitude of variation of internal system characteristic variations or external disturbance is very large; the performance of system usually can significantly decline, or even unstable.
Summary of the invention
Instant invention overcomes the deficiencies in the prior art, a kind of adaptable search intelligent learning control system and method thereof of vehicle intelligent electric appliance control system being provided, making constantly carrying out along with production run, by debating knowledge online, model can become more and more accurate, more and more close to reality.
Consider the problems referred to above of prior art, according to an aspect disclosed by the invention, the present invention by the following technical solutions:
An adaptable search intelligent learning control system for vehicle intelligent electric appliance control system, comprising:
Adaptable search on-line identification circuit, described adaptable search on-line identification circuit is when detecting auto electric equipment and being operated, adaptable search on-line identification circuit gathers related data, and is sent in the treatment mechanism controller unit for the treatment of mechanism controller circuitry;
Training study circuit, training study unit in described training study circuit constantly data memory contrasting with standard-required data in auto electric equipment short circuit, overcurrent, open circuit, curent change situation, error amount is decided to be learning value, and the situation of auto electric equipment is stored to treatment mechanism controller unit;
Treatment mechanism controller circuitry, the treatment mechanism controller unit record short circuit in described treatment mechanism controller circuitry, overcurrent, open circuit, curent change data, and start training study unit; Treatment mechanism controller unit restrains by the auto-adaptive function rule built and error amount penalty function mechanism and the compensatory control measure of handling it according to the situation of auto electric equipment.
In order to realize the present invention better, further technical scheme is:
In one embodiment of the invention, also comprise power circuit, voltage detection circuit and microcontroller, described microcontroller is connected with power circuit, voltage detection circuit, auto electric equipment driving circuit, adaptable search on-line identification circuit, training study circuit respectively by treatment mechanism controller circuitry, treatment mechanism controller circuitry is connected with auto electric equipment by auto electric equipment driving circuit and adaptable search on-line identification circuit, adaptable search on-line identification circuit is connected with training study circuit and auto electric equipment respectively, treatment mechanism controller circuitry provides stable supply voltage by power circuit, voltage detection circuit provides the changing condition of external voltage for treatment mechanism controller circuitry, adaptable search on-line identification circuit provides short circuit for treatment mechanism controller circuitry, overcurrent, open circuit, curent change data, the auto-adaptive function rule that training study circuit is treatment mechanism controller circuitry and the structure of error amount penalty function rule provide data, the treatment mechanism that auto electric equipment driving circuit provides according to treatment mechanism controller circuitry and compensatory control measure drive or stop auto electric equipment.
In one embodiment of the invention, A/D conversion equipment and E2ROM memory storage is integrated with in the process chip in described microcontroller, as the instrument of training study.
Compared with prior art, one of beneficial effect of the present invention is:
In technical scheme of the present invention, controlled by the adaptable search intelligent learning in vehicle intelligent electric appliance control system, auto electric equipment in its vehicle intelligent electric appliance control system can be automatically adjusted according to load change, temperature variation, and compensation can be regulated according to the different continuous print of voltage, auto electric equipment is made to be operated in optimum condition, like this can more effective guarantee vehicle intelligent electric appliance control system work stable, can not cause overheated, overvoltage, overcurrent, properties of product are fully protected.Be easy to produce in enormous quantities.Can install and use on various automobile, applied range, is suitable for suitability for industrialized production, is easy to promote.
Accompanying drawing explanation
In order to clearer explanation present specification embodiment or technical scheme of the prior art, below the accompanying drawing used required in the description to embodiment or prior art is briefly described, apparently, the accompanying drawing that the following describes is only the reference to some embodiments in present specification, for those skilled in the art, when not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 shows the adaptable search intelligent learning control system diagrammatic view in principle block diagram of vehicle intelligent electric appliance control system according to an embodiment of the invention.
Fig. 2 shows the adaptable search intelligent learning control system graph of a relation of vehicle intelligent electric appliance control system according to an embodiment of the invention.
Embodiment
Below in conjunction with embodiment, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
Fig. 1 shows the adaptable search intelligent learning control system diagrammatic view in principle block diagram of vehicle intelligent electric appliance control system according to an embodiment of the invention.As shown in Figure 1, an a kind of embodiment of adaptable search intelligent learning control system of vehicle intelligent electric appliance control system, comprising:
Adaptable search on-line identification circuit, described adaptable search on-line identification circuit is when detecting auto electric equipment and being operated, adaptable search on-line identification circuit gathers related data, as the data such as electric current, voltage of auto electric equipment, and be sent in the treatment mechanism controller unit for the treatment of mechanism controller circuitry.
Training study circuit, the various situations of the constantly training study auto electric equipment of the training study unit in described training study circuit, and the situation of auto electric equipment is stored to treatment mechanism controller unit, as training study unit constantly data memory contrasting with standard-required data in auto electric equipment short circuit, overcurrent, open circuit, curent change situation, error amount is decided to be learning value, and the situation of auto electric equipment is stored to treatment mechanism controller unit.
Treatment mechanism controller circuitry, the treatment mechanism controller unit record data in described treatment mechanism controller circuitry, as short circuit, overcurrent, open circuit, curent change data, and start training study unit; Treatment mechanism controller unit to be handled it mechanism and compensatory control measure according to the situation of auto electric equipment, reach no matter what change occurs auto electric equipment, vehicle intelligent electric appliance controller can control auto electric equipment, and make corresponding process, make auto electric equipment working stability, simplify the production of vehicle intelligent electric appliance controller, vehicle intelligent electric appliance controller need not manually be debugged, be easy to produce in enormous quantities.
Shown in composition graphs 2, in the adaptable search intelligent learning control system of this vehicle intelligent electric appliance control system, also can comprise power circuit, voltage detection circuit and microcontroller, described microcontroller is connected with power circuit, voltage detection circuit, auto electric equipment driving circuit, adaptable search on-line identification circuit, training study circuit respectively by treatment mechanism controller circuitry; Treatment mechanism controller circuitry is connected with auto electric equipment by auto electric equipment driving circuit and adaptable search on-line identification circuit; Adaptable search on-line identification circuit is connected with training study circuit and auto electric equipment respectively.Treatment mechanism controller circuitry provides stable supply voltage by power circuit, voltage detection circuit provides the changing condition of external voltage for treatment mechanism controller circuitry, adaptable search on-line identification circuit provides short circuit for treatment mechanism controller circuitry, overcurrent, open circuit, curent change data, the auto-adaptive function rule that training study circuit is treatment mechanism controller circuitry and the structure of error amount penalty function rule provide data, the treatment mechanism that auto electric equipment driving circuit provides according to treatment mechanism controller circuitry and compensatory control measure drive or stop auto electric equipment.
Can be integrated with A/D conversion equipment and E2ROM memory storage in the process chip in described microcontroller, as the instrument of training study.
By above embodiment, to realize self study to complicated uncertain load system, self-optimizing control.Adaptable search intelligent learning control method is a kind of study control. its mutual by with load system, and evaluate the quality of controlling behavior, adopt backoff algorithm Training Control device.It is a kind of control method based on mathematical model that adaptable search intelligent learning controls, the experimental knowledge about model and disturbance that adaptable search intelligent learning controls institute's foundation is fewer, need the information going constantly to extract about model in the operational process of system, make model perfect.Specifically, can according to the inputoutput data of object, constantly identification model parameter, namely debates knowledge online.Along with constantly carrying out of production run, by debating knowledge online, model can become more and more accurate, more and more close to reality.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiment, identical similar portion cross-reference between each embodiment.
Spoken of in this manual " embodiment ", " another embodiment ", " embodiment ", etc., refer to the specific features, structure or the feature that describe in conjunction with this embodiment and be included at least one embodiment of the application's generality description.Multiple place occurs that statement of the same race is not necessarily refer to same embodiment in the description.Furthermore, when describing specific features, structure or a feature in conjunction with any embodiment, what advocate is also fall within the scope of the invention to realize this feature, structure or feature in conjunction with other embodiments.
Although with reference to multiple explanatory embodiment of the present invention, invention has been described here, but, should be appreciated that, those skilled in the art can design a lot of other amendment and embodiment, these amendments and embodiment will drop within spirit disclosed in the present application and spirit.More particularly, in the scope of, accompanying drawing open in the application and claim, multiple modification and improvement can be carried out to the building block of subject combination layout and/or layout.Except the modification of carrying out building block and/or layout is with except improvement, to those skilled in the art, other purposes also will be obvious.

Claims (3)

1. an adaptable search intelligent learning control system for vehicle intelligent electric appliance control system, is characterized in that, comprising:
Adaptable search on-line identification circuit, described adaptable search on-line identification circuit is when detecting auto electric equipment and being operated, adaptable search on-line identification circuit gathers the data of auto electric equipment, and is sent in the treatment mechanism controller unit for the treatment of mechanism controller circuitry;
Training study circuit, the various situations of the constantly training study auto electric equipment of the training study unit in described training study circuit, and the situation of auto electric equipment is stored to treatment mechanism controller unit;
Treatment mechanism controller circuitry, the treatment mechanism controller unit record data in described treatment mechanism controller circuitry, and start training study unit; Treatment mechanism controller unit to be handled it mechanism and compensatory control measure according to the situation of auto electric equipment.
2. the adaptable search intelligent learning control system of vehicle intelligent electric appliance control system according to claim 1, it is characterized in that, also comprise power circuit, voltage detection circuit and microcontroller, described microcontroller is connected with power circuit, voltage detection circuit, auto electric equipment driving circuit, adaptable search on-line identification circuit, training study circuit respectively by treatment mechanism controller circuitry; Treatment mechanism controller circuitry is connected with auto electric equipment respectively by auto electric equipment driving circuit, adaptable search on-line identification circuit; Adaptable search on-line identification circuit is connected with training study circuit and auto electric equipment respectively; Treatment mechanism controller circuitry provides stable supply voltage by power circuit, and voltage detection circuit provides the changing condition of external voltage for treatment mechanism controller circuitry.
3. the adaptable search intelligent learning control system of vehicle intelligent electric appliance control system according to claim 2, is characterized in that, is integrated with A/D conversion equipment and E2ROM memory storage in the process chip in described microcontroller.
CN201210499457.2A 2012-11-29 2012-11-29 Self-adaptive search intelligent learning control system of automobile intelligent appliance control system Active CN102981483B (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1724297A (en) * 2004-07-19 2006-01-25 行毅科技股份有限公司 Apparatus of antithief with radio communication identifying for automobile and its antithief system
CN2844342Y (en) * 2005-12-07 2006-12-06 同致电子企业股份有限公司 induction type automobile door lock control device
CN201002580Y (en) * 2007-02-05 2008-01-09 裕隆日产汽车股份有限公司 Individual setting device for automobile electron components
CN101311047A (en) * 2008-05-04 2008-11-26 重庆邮电大学 Vehicle anti-lock brake control method based on least squares support vector machine
CN201198296Y (en) * 2008-03-12 2009-02-25 卢灿光 Learning type general automobile steering wheel controller
CN101474957A (en) * 2008-12-19 2009-07-08 重庆集诚汽车电子有限责任公司 Vehicle dormer window movement control system and method
CN201998758U (en) * 2010-12-14 2011-10-05 江苏技术师范学院 Rear suspension control system of electric automobile
CN202294612U (en) * 2011-09-15 2012-07-04 十堰金亿达科技有限公司 Electrical equipment integrated controller for automobile

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5485562B2 (en) * 2009-02-09 2014-05-07 株式会社アドヴィックス Vehicle seat control device
JP5637381B2 (en) * 2010-12-03 2014-12-10 アイシン・エィ・ダブリュ株式会社 Road node position management system, road node position management method, and road node position management program

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1724297A (en) * 2004-07-19 2006-01-25 行毅科技股份有限公司 Apparatus of antithief with radio communication identifying for automobile and its antithief system
CN2844342Y (en) * 2005-12-07 2006-12-06 同致电子企业股份有限公司 induction type automobile door lock control device
CN201002580Y (en) * 2007-02-05 2008-01-09 裕隆日产汽车股份有限公司 Individual setting device for automobile electron components
CN201198296Y (en) * 2008-03-12 2009-02-25 卢灿光 Learning type general automobile steering wheel controller
CN101311047A (en) * 2008-05-04 2008-11-26 重庆邮电大学 Vehicle anti-lock brake control method based on least squares support vector machine
CN101474957A (en) * 2008-12-19 2009-07-08 重庆集诚汽车电子有限责任公司 Vehicle dormer window movement control system and method
CN201998758U (en) * 2010-12-14 2011-10-05 江苏技术师范学院 Rear suspension control system of electric automobile
CN202294612U (en) * 2011-09-15 2012-07-04 十堰金亿达科技有限公司 Electrical equipment integrated controller for automobile

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